Voyage 3.5 is Voyage AI's Voyage 3.5 general-purpose embedding model with a context window of 0 tokens. It surpasses OpenAI text-embedding-3-large by 8.26% and Cohere Embed v4 by 1.63% across eight retrieval domains, with Matryoshka dimensionality and quantization-aware training.
import { embed } from 'ai';
const result = await embed({ model: 'voyage/voyage-3.5', value: 'Sunny day at the beach',})Voyage 3.5 is Voyage AI's Voyage 3.5 general-purpose embedding model, released May 20, 2025. It supports a context window of 0 tokens and produces embeddings in four dimensions: 2048, 1024, 512, and 256. Voyage 3.5 surpasses OpenAI text-embedding-3-large by 8.26% and Cohere Embed v4 by 1.63% on average across eight retrieval domains including technical documentation, code, law, and finance.
Like its predecessor, Voyage 3.5 uses Matryoshka learning and quantization-aware training. It supports 32-bit float, 8-bit integer, and binary precision formats. int8 quantization at 2048 dimensions reduces vector database costs by 83% compared to OpenAI's offering while achieving better retrieval results. Binary rescoring yields up to 6.38% quality improvements, making aggressive compression practical for high-volume production indices.
Voyage 3.5 is the premium tier in Voyage AI's Voyage 3.5 general-purpose lineup. It delivers the highest retrieval accuracy among Voyage 3.5 general-purpose options on evaluated domains. For cost-sensitive workloads where a small accuracy tradeoff is acceptable, voyage-3.5-lite provides comparable coverage at one-third the price.